Furthermore, the Multiple Stimuli with Hidden Reference and Anchor (MUSHRA) listening test [27] was employed to evaluate the subjective quality.
The audible quality of the processed signals was evaluated in the framework of a multiple stimuli with hidden reference and anchor (MUSHRA) test [16].
We performed the MUSHRA (MUltiple Stimuli with Hidden Reference and Anchor) test [23] for evaluating subjective quality at 12, 16, and 20 kbps.
MUSHRA stands for "MUltiple Stimuli with Hidden Reference and Anchor" and is a method for subjective quality evaluation of lossyaudio compression algorithms.
Subjective evaluation of the proposed WB-FDLP codec with respect to two state-of-the-art codecs (LAME-MP3 and MPEG4 HE-AAC) is carried out by MUSHRA (multiple stimuli with hidden reference and anchor) methodology.
The extended audio signals were compared with the SWB audio signals reproduced by G.722.1C [16] at the same bit rate by using a multiple stimuli with hidden reference and anchor (MUSHRA) listening test [19].
Eight trained listeners participated in the Multiple Stimuli with Hidden Reference and Anchor (MUSHRA) [19] test for the contents encoded and decoded at 12-, 16-, and 24-kbps operating modes.
To examine the preservation of the spatial rendering by the considered algorithms, the subjects participated in a test based on the multiple stimuli with hidden reference and anchor (MUSHRA) test [41].
In addition, dynamic control of nanomaterial assembly in response to multiple stimuli, with minimal or no error, and the reversibility of the assemblies are also required.
However, we also observed MeA neurons that responded significantly to multiple stimuli with varying response strengths, indicating that individual neurons distributed throughout the MeA have access to information about both conspecific and defensive stimuli.
